Overview
The project develops Active Inference models of human-animal interaction, examining how mutual inference and alignment processes shape relationships and behaviors across species boundaries.
Researchers, practitioners, and animal behavior scientists interested in Active Inference approaches to human-animal alignment.
Helping warm relations by strengthening alignment in human-animal interactions.
Lead: Andrew Djuwidja
This project is archived. It is no longer active, and any participation prompts below describe how it previously operated.
Project Sweet (Sus) Dogg applies Active Inference principles to understanding and improving human-animal relationships — particularly focusing on alignment and trust-building in interactions between humans and domestic animals.
The project develops Active Inference models of human-animal interaction, examining how mutual inference and alignment processes shape relationships and behaviors across species boundaries.
Animal behavior researchers, ethologists, and Active Inference modelers are welcome.
Related resources
Audience: Newcomer
Primary public community channel for conversation, coordination, and newcomer orientation.
Audience: Researcher
Public ecosystem shortlink for Institute context, projects, activities, and conceptual maps.